| Introduction to probability and stochastic processes with applications LB Castañeda, V Arunachalam, S Dharmaraja John Wiley & Sons, 2012 | 150 | 2012 |
| Time-series modeling of fishery landings in the Colombian Pacific Ocean using an ARIMA model JJ Selvaraj, V Arunachalam, KV Coronado-Franco, LV Romero-Orjuela, ... Regional Studies in Marine Science 39, 101477, 2020 | 60 | 2020 |
| The use of the tukeys g-h family of distributions to calculate value at risk and conditional value at risk JA Jiménez, V Arunachalam Journal of Risk 13 (4), 95-116, 2011 | 49 | 2011 |
| Stochastic modeling, analysis, and simulation of the COVID-19 pandemic with explicit behavioral changes in Bogotá: A case study D Niño-Torres, A Ríos-Gutiérrez, V Arunachalam, C Ohajunwa, ... Infectious Disease Modelling 7 (1), 199-211, 2022 | 39 | 2022 |
| A fluid queue modulated by two independent birth–death processes V Arunachalam, V Gupta, S Dharmaraja Computers & Mathematics with Applications 60 (8), 2433-2444, 2010 | 39 | 2010 |
| A generalization of Tukey’s g — h family of distributions JA Jiménez, V Arunachalam, GM Serna Journal of Statistical Theory and Applications 14 (1), 28-44, 2015 | 35 | 2015 |
| Studies on the basic reproduction number in stochastic epidemic models with random perturbations A Ríos-Gutiérrez, S Torres, V Arunachalam Advances in difference equations 2021 (1), 288, 2021 | 27 | 2021 |
| Markov regenerative credit rating model P Pasricha, D Selvamuthu, V Arunachalam The Journal of Risk Finance 18 (3), 311-325, 2017 | 23 | 2017 |
| Stochastic modeling for delay analysis of a VoIP network V Gupta, S Dharmaraja, V Arunachalam Annals of Operations Research 233 (1), 171-180, 2015 | 18 | 2015 |
| Studying complexity and risk through stochastic population dynamics: Persistence, resonance, and extinction in ecosystems A Mubayi, C Kribs, V Arunachalam, C Castillo-Chavez Handbook of Statistics 40, 157-193, 2019 | 17 | 2019 |
| On the study of simultaneous service by random number of servers with retrial and preemptive priority R Vinayak, S Dharmaraja, V Arunachalam International Journal of Operational Research 20 (1), 68-90, 2014 | 10 | 2014 |
| Approximation of the bivariate renewal function V Arunachalam, Á Calvache Communications in Statistics-Simulation and Computation 44 (1), 154-167, 2015 | 9 | 2015 |
| Applied Stochastic Modeling L Blanco-Castañeda, V Arunachalam Springer, 2023 | 8* | 2023 |
| Machine Learning for Predicting the Dynamics of Infectious Diseases During Travel Through Physics Informed Neural Networks AG Ogueda-Oliva, EJ Martínez-Salinas, V Arunachalam, P Seshaiyer Journal of Machine Learning for Modeling and Computing 4 (3), 2023 | 8 | 2023 |
| Option pricing based on the generalised Tukey distribution JA Jiménez, V Arunachalam, GM Serna International Journal of Financial Markets and Derivatives 3 (3), 191-221, 2014 | 8 | 2014 |
| A time series framework for pricing guaranteed lifelong withdrawal benefit N Sharma, S Dharmaraja, V Arunachalam Computational Economics 58 (4), 1225-1261, 2021 | 7 | 2021 |
| Some useful approximations for the availability function V Arunachalam, A Calvache, A Tansu International journal of Reliability, Quality and safety Engineering 22 (02 …, 2015 | 7 | 2015 |
| Evaluating operational risk by an inhomogeneous counting process based on Panjer recursion R Staff Journal of Operational Risk, 2016 | 6 | 2016 |
| Fluid queue driven by finite state Markov processes V Arunachalam, S Dharmaraja Ciencia en Desarrollo 5 (2), 79-86, 2014 | 5 | 2014 |
| Cost analysis of treatment strategies for the control of HSV–2 infection in the US: A mathematical modeling-based case study L Almonte-Vega, M Colón-Vargas, L Luna-Jarrín, J Martinez, ... Mathematical Biosciences 324, 108347, 2020 | 4 | 2020 |
